Brain-inspired Predictive Coding Improves the Performance of Machine Challenging Tasks

Backpropagation has been regarded as the most favorable algorithm for training artificial neural networks. However, it has been criticized for its biological implausibility because its learning mechanism contradicts the human brain. Although backpropagation has achieved super-human performance in va...

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Detalles Bibliográficos
Autores principales: Lee, Jangho, Jo, Jeonghee, Lee, Byounghwa, Lee, Jung-Hoon, Yoon, Sungroh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9709416/
https://www.ncbi.nlm.nih.gov/pubmed/36465966
http://dx.doi.org/10.3389/fncom.2022.1062678

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9709416/
https://www.ncbi.nlm.nih.gov/pubmed/36465966
http://dx.doi.org/10.3389/fncom.2022.1062678

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